Lead Data & AI Engineer: Enterprise Platform Builder

Alder Group

City of Brisbane

On-site

AUD 120,000 - 150,000

Full time

3 days ago
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Benefits offered by this job

Competitive remuneration package
Collaborative workplace
Exposure to diverse projects
Structured pathway into data/IT roles

Job summary

Alder Group in Queensland is seeking a Data & AI Engineer to establish and lead our enterprise data and AI capability. You will design the data platform, governance and reporting frameworks, delivering insights and AI-enabled solutions to improve business performance.

Reporting to the General Manager - Information, Data & Technology, you will guide architecture, integrations and analytics from ground up, partnering with stakeholders to translate needs into scalable data solutions and automation

Qualifications

  • Experience with enterprise data platforms, modern data architectures or data warehousing.
  • Strong data modelling, integration, reporting and analytics skills.
  • Knowledge of data governance, automation and AI technologies.

Responsibilities

  • Design and build Alder's enterprise data platform and governance.
  • Develop reporting solutions and AI-enabled capabilities.
  • Lead initial requirements gathering, options analysis and design phases.
  • Collaborate with stakeholders to translate business needs into data solutions.
  • Drive automation and continuous improvement.

Skills

Power BI
Data modelling
Data integration
Analytics
AI technologies
Stakeholder engagement
Automation
Team leadership

Education

Bachelor's or higher degree in Data Analytics, Data Science, IT, CS, Software Engineering

Tools

Power BI
Fabric
Snowflake
Databricks

Job description

Alder Group in Queensland is seeking a Data & AI Engineer to establish and lead our enterprise data and AI capability. You will design the data platform, governance and reporting frameworks, delivering insights and AI-enabled solutions to improve business performance.

Reporting to the General Manager - Information, Data & Technology, you will guide architecture, integrations and analytics from ground up, partnering with stakeholders to translate needs into scalable data solutions and automation

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